Tiktok Analytics

Track TikTok performance and analytics. Use when the user says 'TikTok analytics', 'TikTok metrics', 'how are my TikToks doing', 'TikTok video views', 'TikTo...

Security Scan

The skill's requests and runtime instructions are consistent with a TikTok analytics connector: it asks for a single connector URL (an embedded token) and otherwise has no installs or extra credentials, but you must trust the external Boring service and its handling of the embedded token.

Purpose & Capability

Name/description (TikTok analytics) align with what the skill requests and describes: a Boring MCP connector link that contains an auth token to fetch analytics. There are no unrelated environment variables, binaries, or install steps.

Instruction Scope

SKILL.md confines actions to calling Boring's analytics endpoints (boring_get_* tools) and instructs the user to paste an MCP connector URL into the agent's connectors. It does not ask the agent to read files or other credentials. Note: the doc repeatedly asserts the MCP link is read-only and that tokens are stored server-side — these are claims by the skill that cannot be verified from the manifest and should be validated with the service.

Install Mechanism

Instruction-only skill with no install spec and no code files; nothing is written to disk by the skill itself. This is the lowest-risk install pattern.

Credentials

No environment variables or local credentials are requested; the only required secret is the MCP Connector link (embedded token). That single config value is effectively a credential — treat it as sensitive. The skill claims the token is read-only; the manifest offers no independent verification of token scope or storage practices.

Persistence & Privilege

Skill is not marked always:true and does not request persistent system privileges. Autonomous invocation is allowed (platform default) and appropriate for this kind of connector.

Assessment

This skill is coherent: it needs the MCP connector URL (which contains an embedded token) to fetch TikTok analytics from the Boring service and nothing else. Before using it, verify you trust boring.aiagent-me.com: confirm the connector token's scope (read-only) and revoke/regenerate it if you later decide to stop using the service. Avoid pasting the MCP URL into untrusted public places. If possible, test with an account that has limited access, and check Boring's privacy/security docs or source code referenced in SKILL.md to confirm storage and retention claims.

Track your TikTok performance — video views, likes, comments, shares, and account-level engagement. Powered by Boring.

Security & Data Handling

• MCP link is a credential: Your MCP Server URL (https://boring.aiagent-me.com/mcp/t/xxxxx...) contains an embedded authentication token. Treat it like a password — do not share it publicly.
• Token scope: The embedded token is read-only for analytics. It can only fetch performance metrics and account metadata. It cannot publish, delete, or modify any content on your social media accounts.
• Token storage: The token is stored server-side in Boring's database (MongoDB on DigitalOcean). It is never written to your local filesystem. You can regenerate or revoke it anytime at boring.aiagent-me.com/settings.
• Data flow: Analytics queries are sent from Boring's server (Google Cloud, us-central1) to the platform's API on your behalf. Only performance metrics are retrieved — no content is uploaded or modified.
• No local credentials: No local API keys, environment variables, or secrets are needed. All auth is embedded in the MCP link.
• Third-party service: This skill relies on Boring, an open-source social media management tool. Source code: github.com/snoopyrain.

Prerequisites

1. Sign up at boring.aiagent-me.com with Google
2. Connect TikTok account via OAuth
3. Get your MCP link: Go to Settings → copy your MCP Server URL (contains your auth token — treat it like a password)
4. Add to Claude: Paste the MCP link as a Connector — no install, no API key needed

Available Tools

Tool	Data Source	Best For
boring_get_performance	Real-time platform API	Account-level overview (views, engagement)
boring_get_video_analytics	Real-time platform API	Per-video metrics (views, likes, comments, shares)
boring_get_posts_performance	Daily snapshots (collected at 2 AM)	Historical video performance over date ranges
boring_get_publish_history	Boring database	Publishing history and status tracking

Workflow

Step 1: List Accounts

Call boring_list_accounts and filter for tiktok platform.

Step 2: Determine What the User Wants

User Request	Tool to Use
"How is my TikTok doing?"	boring_get_performance
"Show my best TikToks"	boring_get_video_analytics
"TikTok performance this month"	boring_get_posts_performance
"What did I post on TikTok?"	boring_get_publish_history

Step 3: Fetch Data

Account-Level Performance

boring_get_performance(
  account_id="<account_id>",
  platform="tiktok",
  period="week"       // "day", "week", or "month"
)

Per-Video Analytics (Real-Time)

boring_get_video_analytics(
  account_id="<account_id>",
  platform="tiktok",
  limit=20             // max 100
)

Historical Video Performance (Snapshots)

boring_get_posts_performance(
  account_id="<account_id>",
  since="2025-12-01",
  until="2025-12-31",
  limit=20
)

Step 4: Present Results

Format the data clearly:

• Account overview: Show key metrics in a summary table
• Video analytics: Rank videos by views or engagement, highlight viral hits
• Historical: Show trends over time

TikTok Metrics

Metric	Description
Video views	Total views per video
Likes	Video likes
Comments	Video comments
Shares	Video shares
Account performance	Aggregated account-level metrics

Error Handling

Error	Solution
InvalidApiKey	MCP link may be invalid — regenerate it at boring.aiagent-me.com Settings
InvalidAccountId	Run boring_list_accounts to get valid IDs
TokenExpired	Reconnect account at boring.aiagent-me.com
No data returned	Account may be newly connected — data collection runs daily at 2 AM

Documentation

Full API docs: boring-doc.aiagent-me.com